Abstract:To improve the image resolution in magnetic detection electrical impedance tomography (MDEIT), an algorithm based on structural prior information is proposed. The preprocessed CT image is segmented by using the level set method to obtain the structural information image. The lung edema lesion simulation model is formulated by CT image, and the traditional sensitivity matrix algorithm is utilized to reconstruct the MDEIT reconstructed image. Experimental results show that the MDEIT algorithm based on structural prior information can reduce the artifacts of reconstructed images. The relative image error is reduced from 8847% to 3339%. And the image correlation coefficient is increased from 033 to 081. Compared with the traditional reconstruction algorithm, the accuracy of the reconstructed image structure and the reconstruction accuracy of the conductivity based on structural prior information are improved. The proposed method algorithm provides a foundation for the clinical application of MDEIT.